# lsfusion-mcp

> Use this tool when you need to enhance documentation search with AI-powered capabilities, solving problems of inefficient information retrieval and knowledge discovery. It takes in natural language queries and outputs relevant search results, leveraging OpenAI embeddings and Pinecone vector database. Ideal for use cases where intuitive and accurate search functionality is crucial, such as large-scale documentation repositories and knowledge bases.

Canonical page: https://skillsregistry.net/skills/lsfusion-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lsfusion-mcp

## Description

Enables RAG-powered documentation search using OpenAI embeddings and Pinecone vector database. Provides an extensible framework for adding additional tools with support for both local STDIO and production HTTP transports.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-20

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rpjop2n3an)
- **Repository:** <https://github.com/lsfusion/mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lsfusion-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lsfusion-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lsfusion-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt